No, you do not have any direct way to do it but you can do work around by introducing parameter "Skip_job"(Custom Parameter) in your tasks by default you can make it True in all tasks, when you want to run only one or two of them just adjust the para...
Option 3 Bit complicated process but works well: Considering you will do Update, Insert and Delete operation on the same table at the same time by using multiple job.1. Create a Dummy table with the target table schema with additional column called O...
Create IAM role in AWS S3 and use those credentials to connect to Databricks by using the below codeAWS_SECRET_ACCESS_KEY={{secrets/scope/aws_secret_access_key}}AWS_ACCESS_KEY_ID={{secrets/scope/aws_access_key_id}}aws_bucket_name = "my-s3-bucket"df =...